AIMC Topic: Reproducibility of Results

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An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction.

IEEE transactions on neural networks and learning systems Feb 26, 2015
We consider the task of performing prediction with neural networks (NNs) on the basis of uncertain input data expressed in the form of intervals. We aim at quantifying the uncertainty in the prediction arising from both the input data and the predict...
Motion Uncertainty Wind Reproducibility of Results Time Factors Predictive Value of Tests Humans Neural Networks, Computer Algorithms
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Sensitivity and Specificity Breast Neoplasms Support Vector Machine Models, Statistical Mammography Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated False Positive Reactions Radiographic Image Enhancement Algorithms Humans Computer Simulation Female Reproducibility of Results
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Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.

Translational psychiatry Feb 24, 2015
Although the prevalence of autism spectrum disorder (ASD) has risen sharply in the last few years reaching 1 in 68, the average age of diagnosis in the United States remains close to 4--well past the developmental window when early intervention has t...
Humans Machine Learning Young Adult Adult Male Middle Aged Infant Algorithms Female Reproducibility of Results Risk Factors Child Autistic Disorder Child Behavior Diagnosis, Computer-Assisted Psychometrics Adolescent Child, Preschool
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Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Regression Analysis Data Interpretation, Statistical Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Radiography, Thoracic Reproducibility of Results Pattern Recognition, Automated Neural Networks, Computer Radiographic Image Enhancement Sensitivity and Specificity Algorithms Lung Neoplasms Databases, Factual Solitary Pulmonary Nodule
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An ensemble method with hybrid features to identify extracellular matrix proteins.

PloS one Feb 13, 2015
The extracellular matrix (ECM) is a dynamic composite of secreted proteins that play important roles in numerous biological processes such as tissue morphogenesis, differentiation and homeostasis. Furthermore, various diseases are caused by the dysfu...
Algorithms Datasets as Topic Reproducibility of Results Computational Biology Web Browser Support Vector Machine Extracellular Matrix Proteins Workflow
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Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Journal of neurophysiology Feb 11, 2015
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of p...
Pleasure Motor Skills Golf Female Sensitivity and Specificity Reproducibility of Results Humans Young Adult Male Learning Adult Robotics Athletic Performance Motivation
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Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling.

Bioresource technology Feb 11, 2015
The present investigation was carried out to study application of ANN as a tool for predicting sugar yields of pretreated biomass during hydrolysis process at various time intervals. Since it is known that biomass loading and particle size influences...
Hydrolysis Fermentation Neural Networks, Computer Cellulase Particle Size Alkalies Reproducibility of Results Oryza Biomass Carbohydrates Ethanol Lignin
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PENG: a neural gas-based approach for pharmacophore elucidation. method design, validation, and virtual screening for novel ligands of LTA4H.

Journal of chemical information and modeling Feb 9, 2015
The pharmacophore concept is commonly employed in virtual screening for hit identification. A pharmacophore is generally defined as the three-dimensional arrangement of the structural and physicochemical features of a compound responsible for its aff...
Neural Networks, Computer Algorithms Prospective Studies Reproducibility of Results Protein Binding Humans High-Throughput Screening Assays Aminopeptidases Enzyme Inhibitors Crystallography, X-Ray Models, Molecular Thermodynamics Benchmarking Epoxide Hydrolases Ligands
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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Gait Pattern Recognition, Automated Nervous System Diseases Support Vector Machine Muscle, Skeletal Principal Component Analysis Bayes Theorem Artificial Intelligence Algorithms Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Time Factors Humans Neural Networks, Computer
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Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.

BMC medical genomics Feb 7, 2015
BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular...
Algorithms Precision Medicine Prognosis Female Reproducibility of Results Decision Making Computational Biology Neoplasm Recurrence, Local Humans Gene Expression Regulation, Neoplastic Oligonucleotide Array Sequence Analysis Databases, Genetic Sensitivity and Specificity Fuzzy Logic Breast Neoplasms Neoplasm Invasiveness Gene Expression Profiling Cohort Studies
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